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Volumn 3, Issue 1, 2014, Pages 12-16

A Gaussian compound decision bakeoff

Author keywords

High dimensional data; Regularization; Statistical computing

Indexed keywords


EID: 84908703923     PISSN: None     EISSN: 20491573     Source Type: Journal    
DOI: 10.1002/sta4.38     Document Type: Article
Times cited : (8)

References (10)
  • 3
    • 84871997969 scopus 로고    scopus 로고
    • 'Needles and straw in a haystack: Posterior concentration for possibly sparse sequences'
    • Castillo, I & vanderVaart, A (2012), 'Needles and straw in a haystack: Posterior concentration for possibly sparse sequences', Annals of Statistics, 40, 2069-2101.
    • (2012) Annals of Statistics , vol.40 , pp. 2069-2101
    • Castillo, I.1    vanderVaart, A.2
  • 4
    • 68649100959 scopus 로고    scopus 로고
    • 'General maximum likelihood empirical Bayes estimation of normal means'
    • Jiang, W & Zhang, C-H (2009), 'General maximum likelihood empirical Bayes estimation of normal means', Annals of Statistics, 37, 1647-1684.
    • (2009) Annals of Statistics , vol.37 , pp. 1647-1684
    • Jiang, W.1    Zhang, C.-H.2
  • 5
    • 3543030265 scopus 로고    scopus 로고
    • 'Needles and straw in haystacks: empirical Bayes estimates of possibly sparse sequences'
    • Johnstone, IM & Silverman, BW (2004), 'Needles and straw in haystacks: empirical Bayes estimates of possibly sparse sequences', Annals of Statistics, 32, 1594-1649.
    • (2004) Annals of Statistics , vol.32 , pp. 1594-1649
    • Johnstone, I.M.1    Silverman, B.W.2
  • 6
    • 0000284439 scopus 로고
    • 'Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters'
    • Kiefer, J & Wolfowitz J (1956), 'Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters', The Annals of Mathematical Statistics, 27, 887-906.
    • (1956) The Annals of Mathematical Statistics , vol.27 , pp. 887-906
    • Kiefer, J.1    Wolfowitz, J.2
  • 10
    • 84863304598 scopus 로고    scopus 로고
    • R Foundation for Statistical Computing, Vienna, Austria
    • RCoreTeam (2013), R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org.
    • (2013) R: A language and environment for statistical computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.